Answers - DianneEstrada 9/11/101:25PM Ch3DS Completed...

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Dianne Estrada  9/11/10 1:25 PM  Ch3DS  Completed  29 out of 30 points   
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Question 1  1 out of 1 points To solve a linear programming problem with thousands of variables and constraints  Answer  Selected Answer: Correct Answer: Question 2  0 out of 1 points A negative dual price for a constraint in a minimization problem means  Answer  Selected Answer: Correct Answer: Question 3  1 out of 1 points
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If a decision variable is not positive in the optimal solution, its reduced cost is  Answer  Selected Answer: Correct Answer: Question 4  1 out of 1 points A constraint with a positive slack value  Answer  Selected Answer: Correct Answer: Question 5  1 out of 1 points The amount by which an objective function coefficient can change before a different set of values for  the decision variables becomes optimal is the  Answer  Selected Answer: Correct Answer:
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Question 6  1 out of 1 points The range of feasibility measures  Answer  Selected Answer: Correct Answer: Question 7  1 out of 1 points The 100% Rule compares  Answer  Selected Answer: Correct Answer: Question 8  1 out of 1 points
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An objective function reflects the relevant cost of labor hours used in production rather than treating  them as a sunk cost. The correct interpretation of the dual price associated with the labor hours  constraint is  Answer  Selected Answer: Correct Answer: Question 9  1 out of 1 points A section of output 
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This note was uploaded on 03/12/2011 for the course BUS 100 taught by Professor Various during the Spring '11 term at Hardin-Simmons.

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Answers - DianneEstrada 9/11/101:25PM Ch3DS Completed...

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